Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Insulin resistance—when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels—is ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...